S. Böttcher, R. Hartel, and T. Jacobs, “Fast Multi-update Operations on Compressed XML Data,” in Big Data - 29th British National Conference on Databases, BNCOD 2013, 2013, pp. 149–164.
LibreCat: /record/15093
DOI: 10.1007/978-3-642-39467-6_15

S. Böttcher, M. Brandenburg, and R. Hartel, “DAG - Index - A Compressed Index for XML Keyword Search,” in WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies, 2013, pp. 137–140.
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A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, 2013.
LibreCat: /record/15112

N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada,” in in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
LibreCat: /record/15113

S. Böttcher, A. Bültmann, R. Hartel, and J. Schlüßler, “Implementing Efficient Updates in Compressed Big Text Databases,” in International Conference on Database and Expert Systems Applications, 2013, pp. 189–202.
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G. S. Owen et al., “How visualization courses have changed over the past 10 years,” IEEE computer graphics and applications, vol. 33, no. 4, pp. 14–19, 2013.
LibreCat: /record/15180
DOI: 10.1109/MCG.2013.57

J. G. Alford, L. Jacob, and P. Dietz, “Animatronics Workshop: A Theater+ Engineering Collaboration at a High School,” IEEE computer graphics and applications, vol. 33, no. 6, pp. 9–13, 2013.
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DOI: 10.1109/MCG.2013.86

S. Arens, M. Bolte, and G. Domik, “Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering,” in Vision, Modeling &; Visualization, 2013.
LibreCat: /record/15284
DOI: 10.2312/PE.VMV.VMV13.231-232

D. Heider, R. Senge, W. Cheng, and E. Hüllermeier, “Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction,” Bioinformatics, vol. 29, no. 16, pp. 1946–1952, 2013.
LibreCat: /record/16044

S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, and N. Donner-Banzhoff, “Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. ,” BMC Family Practice, vol. 14, no. 1, pp. 154–162, 2013.
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J. Haasenritter et al., “Diagnose im Kontext - eine erweiterte Perspektive,” Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ), vol. 107, pp. 585–591, 2013.
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A. Shaker, R. Senge, and E. Hüllermeier, “Evolving fuzzy pattern trees for binary classification on data streams,” Information Sciences, vol. 220, pp. 34–45, 2013.
LibreCat: /record/16123

B. Eikel, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Spherical Visibility Sampling,” in Computer Graphics Forum, 2013, vol. 32, no. 4, pp. 49–58.
LibreCat: /record/16393
DOI: 10.1111/cgf.12150

C. Jähn, B. Eikel, M. Fischer, R. Petring, and F. Meyer auf der Heide, “Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties,” in Advances in Visual Computing, Berlin, Heidelberg, 2013.
LibreCat: /record/16406
DOI: 10.1007/978-3-642-41914-0_12

R. Petring, B. Eikel, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Real-Time 3D Rendering of Heterogeneous Scenes,” in Advances in Visual Computing, Berlin, Heidelberg, 2013.
LibreCat: /record/16407
DOI: 10.1007/978-3-642-41914-0_44

G. Szarvas, R. Busa-Fekete, and E. Hüllermeier, “Learning to rank lexical substitutions,” in In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat: /record/13115

K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, and E. Hüllermeier, “Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
LibreCat: /record/13116

R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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E. Hüllermeier and W. Cheng, “Preference-based CBR: General ideas and basic principles,” in in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China, 2013, pp. 3012–3016.
LibreCat: /record/13118

S. Henzgen, M. Strickert, and E. Hüllermeier, “Rule chains for visualizing evolving fuzzy rule-based systems,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 279–288.
LibreCat: /record/13119